Instructions to use prxy5607/e27d4565-d523-4608-a58f-39ff10792538 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/e27d4565-d523-4608-a58f-39ff10792538 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "prxy5607/e27d4565-d523-4608-a58f-39ff10792538") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prxy5607/e27d4565-d523-4608-a58f-39ff10792538: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5607/e27d4565-d523-4608-a58f-39ff10792538/resolve/main/training_args.bin
- Command line
-
hf download hf://prxy5607/e27d4565-d523-4608-a58f-39ff10792538/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5607/e27d4565-d523-4608-a58f-39ff10792538/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- e581ea1a8628c8f7f9e61e894c3615005101886a3bed256380c29de2a0fae251
- Size of remote file:
- 6.84 kB
- SHA256:
- 8d61057272335e359dd5345118326cede80b9e07b97c10e5743c99e1c9698c53
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